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Welcome to Clief Notes. Here's where to start.
1. Watch the intro video and introduce yourself in the intro post here 2. Start with The Foundation (free course). Concepts, folder architecture, prompting framework. Everything else builds on this. 3. Check in at the bottom of each lesson. Polls, discussion posts, other members working through the same stuff. Use them. 4. When you're ready to build real things, move to Implementation Playbooks (Level 2). When you're ready to build your own tools, Building Your Stack (Level 3). 5. Post your work. Ask questions. Help others when you can. What are you here to build?
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🏆 WEEKLY COMP #3: THE SPECIALIST 🏆
💰 $325 CASH PRIZE 💰 That's a full year of Premium. Win this and your membership pays for itself. 📋 THE CHALLENGE You just got hired again. Different client this time. Meet Sarah, a freelance copywriter who's drowning in context-switching. 📎 Download the full client brief attached to this post. Short version: She works with three types of clients (SaaS founders, ecommerce brands, local service businesses) and starts from scratch every project. She doesn't need another tool. She needs a system. Your job is to build her a folder-based AI specialist she can drop into any Claude project. The folder IS the deliverable. 🗂️ THIS WEEK YOU LEARN ICM Up until now, comps have been "build a thing." This week you utilize the methodology taught throughout the community. 🧠 Folders as architecture. That's it. That's the whole concept this week. Your specialist is a folder with five things: - 📄 identity.md (who they are) - 📐 rules.md (how they respond) - 💬 examples.md (what good looks like) - 📚 reference/ (source material) - 📖 README.md (how to use it) Drop the folder into a Claude project. Claude becomes the specialist. Reusable. Shareable. Portable. 🎯 PICK YOUR SPECIALIST Don't pick copywriting. That's Sarah's example. Pick something YOU would actually use. A few sparks to get you thinking: - A salary negotiation coach - A meal planner that knows your dietary restrictions - A code reviewer for your stack - A real estate market analyst for your city - A technical recruiter screener - A grant writer for nonprofits in your space The more specific, the better. "Marketing expert" is not a specialist. "B2B email expert for enterprise SaaS targeting CFOs" is. 💼 WHY THIS ONE LANDS ON YOUR RESUME Real talk. Winning a comp in a Skool community doesn't get you a job by itself. But shipping a working folder-based AI specialist with a clean README and a public repo? That's a portfolio piece.
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Who's here? Drop your intro.
Tell us three things: 1. What you do (job, industry, student, career-changer, whatever) 2. What brought you to Clief Notes 3. One thing you're trying to figure out right now related to computing or AI I'll respond to every single one. And read each other's intros too because the person who's stuck on the same problem as you might already be in this thread. I'll go first I am Jake, I have been working in tech for 15 Years, building with Generative AI for 3 Years straight now! Excited to teach and learn! That's it. Simple, scannable, gives you data on who's joining and what they need, and keeps the feed clear for content that retains people past week one.
Anthropic ships Claude design. OpenAI ships pets.
Whatever model you're using right now is good enough. The question isn't capability anymore. It's taste. Capability has been commoditizing for eighteen months. The benchmarks plateaued in the territory where the difference stops mattering for most work. The model is no longer the lever. Watch what the labs are shipping right now and notice the same thing from two directions. Anthropic shipped Claude design. Identity, typography, layout, voice, the editorial spine the whole product runs on. The brand has a point of view and they're letting it carry the surface. OpenAI shipped pets. Floating overlay. /pet command. Custom personality presets. The brand is leaning into character, presence, attachment. Don't read these against each other. Read them together. Both labs are reaching for the same lever at the same time, in different registers. Both are admitting taste is now load-bearing. Two flavors of the same lever Editorial taste fits a power-user surface. Rigorous. Stable. A design system signals reliability. Character taste fits a wider surface. Warm. Present. Pets signal companionship. Neither is "better." They're aimed at different rooms. Picking which room you're in, and refusing to be a generic version of all rooms, is the work. What this means for the rest of us If the labs are now competing on taste, the same thing is happening one layer down. To everyone using them. When AI gives you all the tools, your taste is the differentiator. To some extent. Craft, distribution, relationships still matter. But the lever that just rotated for the labs is rotating for the rest of us too. The model can't tell you what to make. Your judgment about what to do with all of it can. The takeaway The model is good enough now. The next leverage point isn't more capability. It's the judgment to use it well. Taste is the lever. For them. For us. Full breakdown. The good-enough plateau, the two registers of taste, and what it means for makers, all live here: https://aris-space.com/documents/thoughts-and-scribbles/the-taste-transition
🏁 Foundations 1.3 Check-In
You learned the framework. Now try it on something you're actually working on. Vote below, then drop your prompt structure in the comments. Not the output. The structure. Show us how you set it up.
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Clief Notes
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Jake Van Clief, giving you the Cliff notes on the new AI age.
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